Ektarawong, A.; Simak, S. I.; Hultman, L.; Birch, J.; Tasnádi, F.; Wang, F.; Alling, B.: Effects of configurational disorder on the elastic properties of icosahedral boron-rich alloys based on B6O, B13C2, and B4C, and their mixing thermodynamics. The Journal of Chemical Physics 144 (13), 134503 (2016)
Sangiovanni, D. G.; Hellman, O.; Alling, B.; Abrikosov, I. A.: Efficient and accurate determination of lattice-vacancy diffusion coefficients via non equilibrium ab initio molecular dynamics. Physical Review B 93 (9), 094305 (2016)
Thore, A.; Dahlqvist, M.; Alling, B.; Rosén, J. A.: Magnetic exchange interactions and critical temperature of the nanolaminate Mn2GaC from first-principles supercell methods. Physical Review B 93 (5), 054432 (2016)
Eklund, P.; Kerdsongpanya, S.; Alling, B.: Transition-metal-nitride-based thin films as novel energy harvesting materials. Journal of Materials Chemistry C 4 (18), pp. 3905 - 3914 (2016)
Thore, A.; Dahlqvist, M.; Alling, B.; Rosén, J. A.: Phase stability of the nanolaminates V2Ga2C and (Mo1-xVx)2Ga2C from first-principles calculations. Physical Chemistry Chemical Physics 18 (18), pp. 12682 - 12688 (2016)
Stockem, I.; Alling, B.: Interdependence of the spin and lattice dynamics of CrN in the high temperature paramagnetic phase. DPG Frühjahrstagung, Dresden, Germany (2017)
Dutta, B.; Körmann, F.; Alling, B.; Grabowski, B.; Hickel, T.; Neugebauer, J.: Interaction of magnetic and lattice degrees of freedom. International Workshop on Ab initio Description of Iron and Steel: Mechanical Properties (ADIS 2016), Ringberg Castle, Tegernsee, Germany (2016)
Max Planck scientists design a process that merges metal extraction, alloying and processing into one single, eco-friendly step. Their results are now published in the journal Nature.
Scientists of the Max-Planck-Institut für Eisenforschung pioneer new machine learning model for corrosion-resistant alloy design. Their results are now published in the journal Science Advances
A novel design with independent tip and sample heating is developed to characterize materials at high temperatures. This design is realized by modifying a displacement controlled room temperature micro straining rig with addition of two miniature hot stages.
Many important phenomena occurring in polycrystalline materials under large plastic strain, like microstructure, deformation localization and in-grain texture evolution can be predicted by high-resolution modeling of crystals. Unfortunately, the simulation mesh gets distorted during the deformation because of the heterogeneity of the plastic…
In this project we developed a phase-field model capable of describing multi-component and multi-sublattice ordered phases, by directly incorporating the compound energy CALPHAD formalism based on chemical potentials. We investigated the complex compositional pathway for the formation of the η-phase in Al-Zn-Mg-Cu alloys during commercial…
The project HyWay aims to promote the design of advanced materials that maintain outstanding mechanical properties while mitigating the impact of hydrogen by developing flexible, efficient tools for multiscale material modelling and characterization. These efficient material assessment suites integrate data-driven approaches, advanced…
The Atom Probe Tomography group in the Microstructure Physics and Alloy Design department is developing integrated protocols for ultra-high vacuum cryogenic specimen transfer between platforms without exposure to atmospheric contamination.
Here, we aim to develop machine-learning enhanced atom probe tomography approaches to reveal chemical short/long-range order (S/LRO) in a series of metallic materials.